Merge branch 'update' of https://github.com/DeanHazineh/DFlat into up…

…date

readme.md

@@ -11,7 +11,7 @@
 ![PyTorch](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=for-the-badge&logo=PyTorch&logoColor=white)
 [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
 [![Pytest Workflow](https://github.com/DeanHazineh/DFlat-pytorch/actions/workflows/pytest.yml/badge.svg?branch=dflat_v2.0.0)](https://github.com/DeanHazineh/DFlat-pytorch/actions/workflows/pytest.yml)
-![Version](https://img.shields.io/badge/version-2.0.0-blue)
+![Version](https://img.shields.io/badge/version-3.0.0-blue)
 
 `D-Flat` is an auto-differentiable design framework for flat optics, specially geared to the design of dielectric metasurfaces for imaging and sensing tasks. This package was first introduced in a 2022 manuscript available at <a href="https://arxiv.org/abs/2207.14780" target="_blank">arxiv</a>. It was later published alongside our paper, <a href="https://deanhazineh.github.io/publications/Multi_Image_Synthesis/MIS_Home.html" target="_blank"> Polarization Multi-Image Synthesis with Birefringent Metasurfaces</a>, in the proceedings of the 2023 IEEE International Conference of Computational Photography (ICCP). It was rewritten in 2024 with Version 2.0.
 
@@ -23,12 +23,13 @@ D-Flat provides users with:
 
 By treating optical layers in the same fashion as standard, differentiable neural layers, deep learning pipelines can be built to simultaneously optimize optical hardware and ML computational back-ends for the next generation of computational imaging devices.
 
-## Version Notes (v2.0.0)
-
-- This repository is the home for the new and maintained version of DFlat. It replaces DFlat-Tensorflow.
-- Note that this package is no longer a direct port of pytorch-tensorflow but is a complete rewrite (re-)released in February 2024.
-- The structure of the software is completely revamped and the algorithms used--in particular for field propagation--are not the same as before. The original pytorch version (now deprecated) is archived and kept as a branch.
-- (Coming soon) Accessibility via downloading from the PyPI index.
+## Version Notes (v3.0.0)
+Updated on April 11, 2024 from V2.0.0
+- v3 You can now donwload this package from the PyPi Index!
+- v3 Datasets and pre-trained models are now downloaded when called insetad of during install. Models are now initialized by their name instead of by paths to config files. 
+- v2 This repository is the home for the new and maintained version of DFlat. It replaces DFlat-Tensorflow.
+- v2 Note that this package is no longer a direct port of pytorch-tensorflow but is a complete rewrite (re-)released in February 2024.
+- v2 The structure of the software is completely revamped and the algorithms used--in particular for field propagation--are not the same as before. The original pytorch version (now deprecated) is archived and kept as a branch.
 
 ## Installation